PeRFception
[NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields. (by POSTECH-CVLab)
Awesome-Dataset-Distillation
Awesome Dataset Distillation Papers (by Guang000)
| PeRFception | Awesome-Dataset-Distillation | |
|---|---|---|
| 5 | 3 | |
| 327 | 1,173 | |
| 1.8% | - | |
| 0.0 | 9.6 | |
| over 1 year ago | 16 days ago | |
| Python | HTML | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PeRFception
Posts with mentions or reviews of PeRFception.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-03.
Awesome-Dataset-Distillation
Posts with mentions or reviews of Awesome-Dataset-Distillation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-03.
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Researchers created a Novel Framework called ‘FedD3’ for Federated Learning in Resource-Constrained Edge Environments via Decentralized Dataset Distillation
Continue Reading | Check out the paper and github link.
- [D] Most Popular AI Research Aug 2022 - Ranked Based On GitHub Stars
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Most Popular AI Research Aug 2022 pt. 2 - Ranked Based On GitHub Stars
https://arxiv.org/abs/2208.11311 https://github.com/Guang000/Awesome-Dataset-Distillation
What are some alternatives?
When comparing PeRFception and Awesome-Dataset-Distillation you can also consider the following projects:
textual_inversion
Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
ddsp-singing-vocoders - Official implementation of SawSing (ISMIR'22)
VideoX - VideoX: a collection of video cross-modal models
MinVIS
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
Cold-Diffusion-Models - Official implementation of Cold-Diffusion for different transformations in pytorch.
PeRFception vs textual_inversion
Awesome-Dataset-Distillation vs textual_inversion
PeRFception vs Intrusion-Detection-System-Using-Machine-Learning
Awesome-Dataset-Distillation vs Intrusion-Detection-System-Using-Machine-Learning
PeRFception vs ddsp-singing-vocoders
Awesome-Dataset-Distillation vs VideoX
PeRFception vs MinVIS
Awesome-Dataset-Distillation vs bitsandbytes
PeRFception vs bitsandbytes
Awesome-Dataset-Distillation vs MinVIS
PeRFception vs VideoX
Awesome-Dataset-Distillation vs Cold-Diffusion-Models